Wipro (WIT) EPS (Basic) (2011 - 2026)
Wipro's EPS (Basic) came in at $3.38 for the quarter ended Jun 30, 2026, down 9.2% from $3.72 a year earlier and down 5.1% from the prior quarter.
Wipro (WIT) EPS (Basic) (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wipro reported EPS (Basic) of $13.84, down 8.9% year-over-year; for the year ended Mar 31, 2026, it came in at $13.43, down 8.6% from the prior year.
- EPS (Basic) carries a five-year compound annual growth rate of -0.3% (years ended Mar 2021 to Mar 2026).
- Going back by year, EPS (Basic) was $14.70 in the year ended Mar 31, 2025 (+17.3%), $12.53 in the year ended Mar 31, 2024 (-0.6%), $12.61 in the year ended Mar 31, 2023 (-14.4%) and $14.73 in the year ended Mar 31, 2022 (+7.8%).
- The five-year range for quarterly EPS (Basic) is $2.92 (the quarter ended Sep 30, 2023) to $4.00 (the quarter ended Mar 31, 2025).
- Year-over-year, EPS (Basic) has declined for four consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- The fastest year-over-year change in EPS (Basic) over five years came in the quarter ended Dec 31, 2024 (growth of 27.2%), and the weakest in the quarter ended Jun 30, 2022 (a decline of 21.6%).
- Business Quant data shows WIT's EPS (Basic) at $3.56 (quarter ended Mar 31, 2026), $3.35 (quarter ended Dec 31, 2025) and $3.56 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 0.20 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.36 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.20 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 2.16 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.51 |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.32 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.54 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 0.48 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.97 |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 3.38 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38 |
| Mar 31, 2026 | 3.56 |
| Dec 31, 2025 | 3.35 |
| Sep 30, 2025 | 3.56 |
| Jun 30, 2025 | 3.72 |
| Mar 31, 2025 | 4.00 |
| Dec 31, 2024 | 3.76 |
| Sep 30, 2024 | 3.62 |
| Jun 30, 2024 | 3.40 |
| Mar 31, 2024 | 3.23 |
| Dec 31, 2023 | 2.95 |
| Sep 30, 2023 | 2.92 |
| Jun 30, 2023 | 3.19 |
| Mar 31, 2023 | 3.49 |
| Dec 31, 2022 | 3.40 |
| Sep 30, 2022 | 3.05 |
| Jun 30, 2022 | 3.04 |
| Mar 31, 2022 | 3.76 |
| Dec 31, 2021 | 3.51 |
| Sep 30, 2021 | 3.50 |
Wipro EPS (Basic) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-basic&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "WIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-basic&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();